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UMKC Announces New Master of Science in Artificial Intelligence
Ai Infrastructure

UMKC Announces New Master of Science in Artificial Intelligence

UMKC announces a new Master of Science in Artificial Intelligence program aimed at addressing workforce demand for AI expertise, set to l...

AI News - General · 4 min ·
[2603.16629] MLLM-based Textual Explanations for Face Comparison
Llms

[2603.16629] MLLM-based Textual Explanations for Face Comparison

Abstract page for arXiv paper 2603.16629: MLLM-based Textual Explanations for Face Comparison

arXiv - AI · 4 min ·
[2603.14267] DiFlowDubber: Discrete Flow Matching for Automated Video Dubbing via Cross-Modal Alignment and Synchronization
Machine Learning

[2603.14267] DiFlowDubber: Discrete Flow Matching for Automated Video Dubbing via Cross-Modal Alignment and Synchronization

Abstract page for arXiv paper 2603.14267: DiFlowDubber: Discrete Flow Matching for Automated Video Dubbing via Cross-Modal Alignment and ...

arXiv - AI · 4 min ·

All Content

[2503.11832] Safety Mirage: How Spurious Correlations Undermine VLM Safety Fine-Tuning and Can Be Mitigated by Machine Unlearning
Llms

[2503.11832] Safety Mirage: How Spurious Correlations Undermine VLM Safety Fine-Tuning and Can Be Mitigated by Machine Unlearning

Abstract page for arXiv paper 2503.11832: Safety Mirage: How Spurious Correlations Undermine VLM Safety Fine-Tuning and Can Be Mitigated ...

arXiv - Machine Learning · 4 min ·
[2603.00736] Data-driven Synthesis of Magnetic Resonance Spectroscopy Data using a Variational Autoencoder
Machine Learning

[2603.00736] Data-driven Synthesis of Magnetic Resonance Spectroscopy Data using a Variational Autoencoder

Abstract page for arXiv paper 2603.00736: Data-driven Synthesis of Magnetic Resonance Spectroscopy Data using a Variational Autoencoder

arXiv - Machine Learning · 4 min ·
[2603.00651] Exploring 3D Dataset Pruning
Machine Learning

[2603.00651] Exploring 3D Dataset Pruning

Abstract page for arXiv paper 2603.00651: Exploring 3D Dataset Pruning

arXiv - Machine Learning · 3 min ·
[2603.02150] Zero- and Few-Shot Named-Entity Recognition: Case Study and Dataset in the Crime Domain (CrimeNER)
Data Science

[2603.02150] Zero- and Few-Shot Named-Entity Recognition: Case Study and Dataset in the Crime Domain (CrimeNER)

Abstract page for arXiv paper 2603.02150: Zero- and Few-Shot Named-Entity Recognition: Case Study and Dataset in the Crime Domain (CrimeNER)

arXiv - AI · 4 min ·
[2603.02115] Robometer: Scaling General-Purpose Robotic Reward Models via Trajectory Comparisons
Machine Learning

[2603.02115] Robometer: Scaling General-Purpose Robotic Reward Models via Trajectory Comparisons

Abstract page for arXiv paper 2603.02115: Robometer: Scaling General-Purpose Robotic Reward Models via Trajectory Comparisons

arXiv - Machine Learning · 4 min ·
[2603.02087] Detection-Gated Glottal Segmentation with Zero-Shot Cross-Dataset Transfer and Clinical Feature Extraction
Machine Learning

[2603.02087] Detection-Gated Glottal Segmentation with Zero-Shot Cross-Dataset Transfer and Clinical Feature Extraction

Abstract page for arXiv paper 2603.02087: Detection-Gated Glottal Segmentation with Zero-Shot Cross-Dataset Transfer and Clinical Feature...

arXiv - Machine Learning · 4 min ·
[2603.00359] How Large Language Models Get Stuck: Early structure with persistent errors
Llms

[2603.00359] How Large Language Models Get Stuck: Early structure with persistent errors

Abstract page for arXiv paper 2603.00359: How Large Language Models Get Stuck: Early structure with persistent errors

arXiv - Machine Learning · 4 min ·
[2603.02072] Cognitive Prosthetic: An AI-Enabled Multimodal System for Episodic Recall in Knowledge Work
Nlp

[2603.02072] Cognitive Prosthetic: An AI-Enabled Multimodal System for Episodic Recall in Knowledge Work

Abstract page for arXiv paper 2603.02072: Cognitive Prosthetic: An AI-Enabled Multimodal System for Episodic Recall in Knowledge Work

arXiv - AI · 4 min ·
[2603.00233] Scaling Quantum Machine Learning without Tricks: High-Resolution and Diverse Image Generation
Machine Learning

[2603.00233] Scaling Quantum Machine Learning without Tricks: High-Resolution and Diverse Image Generation

Abstract page for arXiv paper 2603.00233: Scaling Quantum Machine Learning without Tricks: High-Resolution and Diverse Image Generation

arXiv - Machine Learning · 4 min ·
[2603.00177] Detecting Cognitive Signatures in Typing Behavior for Non-Intrusive Authorship Verification
Ai Infrastructure

[2603.00177] Detecting Cognitive Signatures in Typing Behavior for Non-Intrusive Authorship Verification

Abstract page for arXiv paper 2603.00177: Detecting Cognitive Signatures in Typing Behavior for Non-Intrusive Authorship Verification

arXiv - Machine Learning · 3 min ·
[2603.00100] Using Artificial Neural Networks to Predict Claim Duration in a Work Injury Compensation Environment
Machine Learning

[2603.00100] Using Artificial Neural Networks to Predict Claim Duration in a Work Injury Compensation Environment

Abstract page for arXiv paper 2603.00100: Using Artificial Neural Networks to Predict Claim Duration in a Work Injury Compensation Enviro...

arXiv - Machine Learning · 4 min ·
[2603.02184] MAC: A Conversion Rate Prediction Benchmark Featuring Labels Under Multiple Attribution Mechanisms
Machine Learning

[2603.02184] MAC: A Conversion Rate Prediction Benchmark Featuring Labels Under Multiple Attribution Mechanisms

Abstract page for arXiv paper 2603.02184: MAC: A Conversion Rate Prediction Benchmark Featuring Labels Under Multiple Attribution Mechanisms

arXiv - Machine Learning · 4 min ·
[2603.01698] Towards Principled Dataset Distillation: A Spectral Distribution Perspective
Machine Learning

[2603.01698] Towards Principled Dataset Distillation: A Spectral Distribution Perspective

Abstract page for arXiv paper 2603.01698: Towards Principled Dataset Distillation: A Spectral Distribution Perspective

arXiv - AI · 4 min ·
[2603.02174] De-paradox Tree: Breaking Down Simpson's Paradox via A Kernel-Based Partition Algorithm
Machine Learning

[2603.02174] De-paradox Tree: Breaking Down Simpson's Paradox via A Kernel-Based Partition Algorithm

Abstract page for arXiv paper 2603.02174: De-paradox Tree: Breaking Down Simpson's Paradox via A Kernel-Based Partition Algorithm

arXiv - Machine Learning · 4 min ·
[2603.02091] Learning from Synthetic Data Improves Multi-hop Reasoning
Llms

[2603.02091] Learning from Synthetic Data Improves Multi-hop Reasoning

Abstract page for arXiv paper 2603.02091: Learning from Synthetic Data Improves Multi-hop Reasoning

arXiv - Machine Learning · 3 min ·
[2603.02043] Leave-One-Out Prediction for General Hypothesis Classes
Machine Learning

[2603.02043] Leave-One-Out Prediction for General Hypothesis Classes

Abstract page for arXiv paper 2603.02043: Leave-One-Out Prediction for General Hypothesis Classes

arXiv - Machine Learning · 3 min ·
[2603.02010] Noise-Calibrated Inference from Differentially Private Sufficient Statistics in Exponential Families
Machine Learning

[2603.02010] Noise-Calibrated Inference from Differentially Private Sufficient Statistics in Exponential Families

Abstract page for arXiv paper 2603.02010: Noise-Calibrated Inference from Differentially Private Sufficient Statistics in Exponential Fam...

arXiv - Machine Learning · 3 min ·
[2603.01574] DualSentinel: A Lightweight Framework for Detecting Targeted Attacks in Black-box LLM via Dual Entropy Lull Pattern
Llms

[2603.01574] DualSentinel: A Lightweight Framework for Detecting Targeted Attacks in Black-box LLM via Dual Entropy Lull Pattern

Abstract page for arXiv paper 2603.01574: DualSentinel: A Lightweight Framework for Detecting Targeted Attacks in Black-box LLM via Dual ...

arXiv - AI · 4 min ·
[2603.01509] Retrieval, Refinement, and Ranking for Text-to-Video Generation via Prompt Optimization and Test-Time Scaling
Machine Learning

[2603.01509] Retrieval, Refinement, and Ranking for Text-to-Video Generation via Prompt Optimization and Test-Time Scaling

Abstract page for arXiv paper 2603.01509: Retrieval, Refinement, and Ranking for Text-to-Video Generation via Prompt Optimization and Tes...

arXiv - AI · 4 min ·
[2603.01494] Inference-Time Safety For Code LLMs Via Retrieval-Augmented Revision
Llms

[2603.01494] Inference-Time Safety For Code LLMs Via Retrieval-Augmented Revision

Abstract page for arXiv paper 2603.01494: Inference-Time Safety For Code LLMs Via Retrieval-Augmented Revision

arXiv - Machine Learning · 4 min ·
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Related Topics

Machine Learning Large Language Models Generative AI Natural Language Processing Computer Vision Robotics & Embodied AI

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